The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-03"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "11074878 (up from 10869739 yesterday: 1.89 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "525121 (up from 521298 yesterday: 0.73 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.74



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2794153 54274 1.98 129434 694 0.54 4.63
Brazil 1539081 42223 2.82 61884 0 0.00 4.02
Russia 666941 6710 1.02 9844 176 1.82 1.48
India 648315 22771 3.64 18655 442 2.43 2.88
Peru 295599 3595 1.23 10226 181 1.80 3.46
Chile 288089 3548 1.25 6051 131 2.21 2.10
United Kingdom 285787 519 0.18 44216 136 0.31 15.47
Spain 250545 442 0.18 28385 17 0.06 11.33
Mexico 245251 6740 2.83 29843 654 2.24 12.17
Italy 241184 223 0.09 34833 15 0.04 14.44
Iran 235429 2566 1.10 11260 154 1.39 4.78
Pakistan 221896 0 0.00 4551 0 0.00 2.05
France 204222 582 0.29 29896 18 0.06 14.64
Turkey 203456 1172 0.58 5186 19 0.37 2.55
Saudi Arabia 201801 4193 2.12 1802 50 2.85 0.89
Germany 196780 410 0.21 9010 4 0.04 4.58
South Africa 177124 9063 5.39 2952 108 3.80 1.67
Bangladesh 156391 3114 2.03 1968 42 2.18 1.26
Canada 106962 319 0.30 8722 22 0.25 8.15
Colombia 106392 4131 4.04 3851 201 5.51 3.62
Qatar 98653 756 0.77 121 3 2.54 0.12
China 84838 8 0.01 4641 0 0.00 5.47
Argentina 72786 2845 4.07 1437 52 3.75 1.97
Egypt 72711 1412 1.98 3201 81 2.60 4.40
Sweden 71419 780 1.10 5420 9 0.17 7.59
Belarus 62997 299 0.48 412 7 1.73 0.65
Belgium 61727 129 0.21 9765 4 0.04 15.82
Indonesia 60695 1301 2.19 3036 49 1.64 5.00
Ecuador 60657 1189 2.00 4700 61 1.31 7.75
Iraq 56020 2312 4.30 2262 102 4.72 4.04
Netherlands 50546 0 0.00 6132 0 0.00 12.13
United Arab Emirates 50141 672 1.36 318 1 0.32 0.63
Kuwait 48672 813 1.70 360 1 0.28 0.74
Ukraine 47705 884 1.89 1227 27 2.25 2.57
Kazakhstan 45719 3145 7.39 188 0 0.00 0.41
Singapore 44479 169 0.38 26 0 0.00 0.06
Oman 43929 1374 3.23 193 5 2.66 0.44
Portugal 43156 374 0.87 1598 11 0.69 3.70
Philippines 40336 1531 3.95 1280 6 0.47 3.17
Bolivia 36818 1290 3.63 1320 49 3.86 3.59
Panama 35995 758 2.15 698 31 4.65 1.94
Poland 35405 259 0.74 1507 15 1.01 4.26
Dominican Republic 35148 951 2.78 775 10 1.31 2.20
Afghanistan 32324 302 0.94 819 12 1.49 2.53
Switzerland 32101 134 0.42 1965 0 0.00 6.12
Bahrain 28410 573 2.06 95 1 1.06 0.33
Romania 28166 420 1.51 1708 21 1.24 6.06
Israel 28055 1008 3.73 326 2 0.62 1.16
Nigeria 27564 454 1.67 628 12 1.95 2.28
Armenia 27320 662 2.48 469 10 2.18 1.72
Ireland 25498 9 0.04 1740 2 0.12 6.82
Honduras 22116 996 4.72 605 14 2.37 2.74
Guatemala 21293 1221 6.08 880 37 4.39 4.13
Ghana 19388 1254 6.92 117 0 0.00 0.60
Azerbaijan 19267 583 3.12 235 7 3.07 1.22
Japan 19185 130 0.68 977 0 0.00 5.09
Austria 18050 109 0.61 705 0 0.00 3.91
Moldova 17445 295 1.72 572 12 2.14 3.28
Serbia 15504 309 2.03 298 11 3.83 1.92
Nepal 15259 740 5.10 32 1 3.23 0.21
Algeria 15070 413 2.82 937 9 0.97 6.22
Morocco 13288 319 2.46 230 1 0.44 1.73
Denmark 13032 17 0.13 606 0 0.00 4.65
Korea, South 13030 63 0.49 283 1 0.35 2.17
Cameroon 12592 0 0.00 313 0 0.00 2.49
Czechia 12319 141 1.16 353 0 0.00 2.87
Cote d’Ivoire 10244 252 2.52 70 2 2.94 0.68

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 395872 918 0.23 32137 73 0.23 8.12 20349.59 1651.99 1 in 49
California 250514 3964 1.61 6315 50 0.80 2.52 6340.16 159.82 1 in 158
Texas 185591 6454 3.60 2592 50 1.97 1.40 6400.60 89.39 1 in 156
Florida 178594 9488 5.61 3684 67 1.85 2.06 8315.31 171.53 1 in 120
New Jersey 172742 386 0.22 15164 57 0.38 8.78 19448.13 1707.24 1 in 51
Illinois 145750 1737 1.21 7005 54 0.78 4.81 11501.90 552.80 1 in 87
Massachusetts 109628 290 0.27 8149 17 0.21 7.43 15774.94 1172.60 1 in 63
Pennsylvania 93392 780 0.84 6746 34 0.51 7.22 7295.12 526.95 1 in 137
Arizona 91872 4427 5.06 1798 34 1.93 1.96 12064.78 236.12 1 in 83
Georgia 90493 2784 3.17 2857 8 0.28 3.16 8523.07 269.09 1 in 117
Michigan 72175 497 0.69 6215 3 0.05 8.61 7227.00 622.32 1 in 138
North Carolina 70262 2046 3.00 1419 10 0.71 2.02 6699.22 135.30 1 in 149
Maryland 68961 538 0.79 3223 11 0.34 4.67 11406.66 533.11 1 in 88
Virginia 64393 658 1.03 1845 29 1.60 2.87 7544.12 216.16 1 in 133
Louisiana 63289 1728 2.81 3278 23 0.71 5.18 13614.07 705.13 1 in 73
Ohio 55257 2392 4.52 2903 27 0.94 5.25 4727.22 248.35 1 in 212
Tennessee 48712 1822 3.89 633 13 2.10 1.30 7128.75 92.64 1 in 140
Indiana 46915 528 1.14 2681 19 0.71 5.71 6968.73 398.23 1 in 143
Connecticut 46717 71 0.15 4335 9 0.21 9.28 13103.29 1215.89 1 in 76
Alabama 41865 1754 4.37 1006 21 2.13 2.40 8538.33 205.17 1 in 117
South Carolina 41532 1831 4.61 793 9 1.15 1.91 8066.48 154.02 1 in 124
Minnesota 37624 414 1.11 1503 8 0.54 3.99 6671.36 266.51 1 in 150
Washington 34778 627 1.84 1352 10 0.75 3.89 4567.10 177.55 1 in 219
Colorado 33595 260 0.78 1701 0 0.00 5.06 5833.75 295.38 1 in 171
Iowa 30463 204 0.67 721 2 0.28 2.37 9655.25 228.52 1 in 104
Wisconsin 30317 579 1.95 796 3 0.38 2.63 5206.93 136.71 1 in 192
Mississippi 29684 914 3.18 1103 11 1.01 3.72 9973.96 370.61 1 in 100
Utah 23866 596 2.56 181 5 2.84 0.76 7444.26 56.46 1 in 134
Missouri 23160 524 2.31 1047 3 0.29 4.52 3773.57 170.59 1 in 265
Arkansas 22622 547 2.48 281 2 0.72 1.24 7496.13 93.11 1 in 133
Nevada 20718 985 4.99 528 3 0.57 2.55 6726.28 171.42 1 in 149
Nebraska 19660 208 1.07 284 2 0.71 1.44 10163.32 146.81 1 in 98
Rhode Island 16991 50 0.30 960 1 0.10 5.65 16038.91 906.21 1 in 62
Kentucky 16376 297 1.85 585 4 0.69 3.57 3665.44 130.94 1 in 273
Kansas 15659 657 4.38 282 2 0.71 1.80 5374.98 96.80 1 in 186
Oklahoma 15069 538 3.70 398 3 0.76 2.64 3808.22 100.58 1 in 263
New Mexico 12776 256 2.04 511 8 1.59 4.00 6093.01 243.70 1 in 164
Delaware 11923 192 1.64 512 2 0.39 4.29 12244.24 525.79 1 in 82
District of Columbia 10435 45 0.43 555 1 0.18 5.32 14785.71 786.40 1 in 68
Oregon 9636 342 3.68 209 0 0.00 2.17 2284.64 49.55 1 in 438
Puerto Rico 7683 75 0.99 154 1 0.65 2.00 2405.68 48.22 1 in 416
Idaho 6994 401 6.08 93 1 1.09 1.33 3902.76 51.90 1 in 256
South Dakota 6978 85 1.23 97 0 0.00 1.39 7887.79 109.65 1 in 127
New Hampshire 5857 35 0.60 376 1 0.27 6.42 4307.53 276.53 1 in 232
North Dakota 3722 65 1.78 80 0 0.00 2.15 4884.12 104.98 1 in 205
Maine 3373 45 1.35 105 0 0.00 3.11 2509.28 78.11 1 in 399
West Virginia 3126 73 2.39 93 0 0.00 2.98 1749.16 52.04 1 in 572
Wyoming 1582 32 2.06 20 0 0.00 1.26 2733.43 34.56 1 in 366
Vermont 1236 9 0.73 56 0 0.00 4.53 1980.80 89.75 1 in 505
Montana 1128 45 4.16 23 1 4.55 2.04 1055.41 21.52 1 in 947
Alaska 1060 46 4.54 15 1 7.14 1.42 1448.99 20.50 1 in 690
Hawaii 975 29 3.07 19 1 5.56 1.95 688.62 13.42 1 in 1452

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 4107985 395872 9.64 211168.79
California 4448176 250514 5.63 112577.21
Texas 2013906 185591 9.22 69454.90
Florida 2081360 178594 8.58 96907.79
New Jersey 1485501 172742 11.63 167244.90
Illinois 1701757 145750 8.56 134294.59
Massachusetts 877780 109628 12.49 126308.31
Pennsylvania 804144 93392 11.61 62813.99
Arizona 578381 91872 15.88 75953.92
Georgia 901217 90493 10.04 84880.95
Michigan 1108265 72175 6.51 110972.35
North Carolina 999293 70262 7.03 95278.89
Maryland 563834 68961 12.23 93262.30
Virginia 688360 64393 9.35 80646.53
Louisiana 784142 63289 8.07 168676.44
Ohio 828157 55257 6.67 70848.65
Tennessee 862489 48712 5.65 126220.85
Indiana 504153 46915 9.31 74886.60
Connecticut 499669 46717 9.35 140148.32
Alabama 430631 41865 9.72 87826.79
South Carolina 409032 41532 10.15 79443.53
Minnesota 645172 37624 5.83 114399.66
Washington 584989 34778 5.95 76821.70
Colorado 340290 33595 9.87 59091.09
Iowa 321461 30463 9.48 101887.12
Wisconsin 606984 30317 4.99 104249.19
Mississippi 299039 29684 9.93 100478.50
Utah 356636 23866 6.69 111241.63
Missouri 404959 23160 5.72 65981.87
Arkansas 331237 22622 6.83 109760.17
Nevada 293685 20718 7.05 95347.44
Nebraska 184134 19660 10.68 95188.81
Rhode Island 250954 16991 6.77 236891.86
Kentucky 395647 16376 4.14 88557.73
Kansas 191561 15659 8.17 65753.64
Oklahoma 363854 15069 4.14 91952.66
New Mexico 356637 12776 3.58 170083.97
Delaware 118343 11923 10.07 121531.50
District of Columbia 102809 10435 10.15 145673.60
Oregon 251054 9636 3.84 59523.39
Puerto Rico 7683 7683 100.00 2405.68
Idaho 98709 6994 7.09 55081.15
South Dakota 82993 6978 8.41 93813.55
New Hampshire 122187 5857 4.79 89862.48
North Dakota 110574 3722 3.37 145098.43
Maine 103449 3373 3.26 76958.84
West Virginia 180702 3126 1.73 101112.00
Wyoming 35275 1582 4.48 60949.38
Vermont 68395 1236 1.81 109609.30
Montana 97503 1128 1.16 91228.49
Alaska 120208 1060 0.88 164320.72
Hawaii 81618 975 1.19 57645.04

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 200064 25303 14.48 108082 54.02 83295 8671 816 10.39 4.33
Tamil Nadu 107001 16834 18.67 60592 56.63 44959 1450 249 20.73 1.36
Delhi 97200 9840 11.26 68256 70.22 25940 3004 262 9.56 3.09
Gujarat 35398 2755 8.44 25414 71.80 8058 1926 78 4.22 5.44
Uttar Pradesh 26554 3062 13.03 18154 68.37 7627 773 76 10.90 2.91
Telangana 22312 5973 36.56 11537 51.71 10487 288 28 10.77 1.29
Karnataka 21549 6307 41.38 9246 42.91 11964 335 89 36.18 1.55
West Bengal 21231 2672 14.40 14166 66.72 6329 736 68 10.18 3.47
Rajasthan 19532 1524 8.46 15640 80.07 3445 447 34 8.23 2.29
Andhra Pradesh 17699 3104 21.27 8008 45.25 9473 218 31 16.58 1.23
Haryana 16548 2000 13.75 12257 74.07 4031 260 24 10.17 1.57
Madhya Pradesh 14604 1011 7.44 11234 76.92 2772 598 26 4.55 4.09
Bihar 11457 1469 14.71 8488 74.09 2881 88 20 29.41 0.77
Assam 11002 2594 30.85 6744 61.30 4241 14 2 16.67 0.13
Odisha 8601 1536 21.74 5934 68.99 2624 43 11 34.38 0.50
Jammu and Kashmir 8246 749 9.99 5143 62.37 2976 127 26 25.74 1.54
Punjab 6109 541 9.72 4306 70.49 1641 162 18 12.50 2.65
Kerala 5205 762 17.15 3048 58.56 2129 26 1 4.00 0.50
State Unassigned 4999 -2005 -28.63 0 0.00 4999 0 0 NaN 0.00
Chhattisgarh 3161 303 10.60 2526 79.91 621 14 1 7.69 0.44
Uttarakhand 3093 212 7.36 2502 80.89 522 42 1 2.44 1.36
Jharkhand 2739 249 10.00 2035 74.30 686 18 3 20.00 0.66
Goa 1684 369 28.06 825 48.99 853 6 3 100.00 0.36
Tripura 1558 165 11.84 1199 76.96 358 1 0 0.00 0.06
Manipur 1325 91 7.37 667 50.34 658 0 0 NaN 0.00
Himachal Pradesh 1046 93 9.76 696 66.54 328 9 0 0.00 0.86
Ladakh 1005 32 3.29 826 82.19 178 1 0 0.00 0.10
Puducherry 904 190 26.61 405 44.80 485 14 2 16.67 1.55
Nagaland 563 104 22.66 228 40.50 335 0 0 NaN 0.00
Chandigarh 459 19 4.32 395 86.06 58 6 0 0.00 1.31
Dadra and Nagar Haveli and Daman and Diu 341 128 60.09 142 41.64 198 0 0 NaN 0.00
Arunachal Pradesh 259 68 35.60 76 29.34 182 1 0 0.00 0.39
Mizoram 164 4 2.50 130 79.27 34 0 0 NaN 0.00
Andaman and Nicobar Islands 119 22 22.68 66 55.46 53 0 0 NaN 0.00
Sikkim 103 15 17.05 52 50.49 51 0 0 NaN 0.00
Meghalaya 70 17 32.08 43 61.43 26 1 0 0.00 1.43
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1064173 94223 115 0.12 8.85 241 41 9677 16675 17.70
Piemonte 425052 31394 16 0.05 7.39 235 10 1275 4100 13.06
Emilia-Romagna 508691 28562 27 0.09 5.61 87 9 1011 4267 14.94
Veneto 992568 19314 5 0.03 1.95 19 0 390 2023 10.47
Toscana 347127 10267 9 0.09 2.96 13 3 323 1112 10.83
Liguria 151324 9987 3 0.03 6.60 40 3 283 1558 15.60
Lazio 346239 8141 11 0.14 2.35 188 11 826 840 10.32
Marche 140965 6789 0 0.00 4.82 6 0 227 987 14.54
P.A. Trento 125206 4871 6 0.12 3.89 2 0 46 405 8.31
Campania 289253 4712 10 0.21 1.63 35 0 197 432 9.17
Puglia 184749 4533 3 0.07 2.45 21 0 109 545 12.02
Friuli Venezia Giulia 196975 3318 4 0.12 1.68 6 0 68 345 10.40
Abruzzo 108363 3298 6 0.18 3.04 27 0 156 464 14.07
Sicilia 217147 3091 1 0.03 1.42 16 2 135 282 9.12
P.A. Bolzano 85938 2642 0 0.00 3.07 3 0 83 292 11.05
Umbria 98488 1446 2 0.14 1.47 4 0 10 80 5.53
Sardegna 86534 1369 1 0.07 1.58 6 0 14 133 9.72
Valle d’Aosta 18576 1196 1 0.08 6.44 3 0 4 146 12.21
Calabria 97852 1182 1 0.08 1.21 4 0 25 97 8.21
Molise 23262 445 0 0.00 1.91 0 0 21 23 5.17
Basilicata 40333 404 2 0.50 1.00 0 0 4 27 6.68

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 55682 89 0.16 5560 19 0.34 9.99 6521.92 651.23 1 in 153
Ontario 37407 165 0.44 2740 3 0.11 7.32 2542.65 186.24 1 in 393
Alberta 8259 57 0.69 155 0 0.00 1.88 1871.45 35.12 1 in 534
British Columbia 2947 7 0.24 177 0 0.00 6.01 576.61 34.63 1 in 1734
Nova Scotia 1064 0 0.00 63 0 0.00 5.92 1088.54 64.45 1 in 919
Saskatchewan 796 1 0.13 14 0 0.00 1.76 673.63 11.85 1 in 1485
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1643 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1247 7 0.56
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 926 9 0.97
Shandong 792 7 0.88
Shanghai 715 7 0.98
Jiangsu 654 0 0.00
Sichuan 595 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 320 3 0.94
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 198 3 1.52
Yunnan 186 2 1.08
Hainan 171 6 3.51
Gansu 164 2 1.22
Liaoning 156 2 1.28
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 8539.59 395.58 1 in 117
Brazil 7353.47 295.67 1 in 136
Russia 4615.51 68.12 1 in 217
India 484.18 13.93 1 in 2065
Peru 9188.65 317.87 1 in 109
Chile 15960.61 335.24 1 in 63
United Kingdom 4301.43 665.50 1 in 232
Spain 5369.59 608.34 1 in 186
Mexico 1898.23 230.98 1 in 527
Italy 3987.83 575.94 1 in 251
Iran 2900.80 138.74 1 in 345
Pakistan 1126.38 23.10 1 in 888
France 3048.54 446.28 1 in 328
Turkey 2517.71 64.18 1 in 397
Saudi Arabia 6126.32 54.71 1 in 163
Germany 2376.86 108.83 1 in 421
South Africa 3122.78 52.05 1 in 320
Bangladesh NA NA 1 in NA
Canada 2845.49 232.03 1 in 351
Colombia 2168.17 78.48 1 in 461

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 216362 23140 10.70
Los Angeles California 107806 3457 3.21
Cook Illinois 91774 4618 5.03
Maricopa Arizona 57929 865 1.49
Miami-Dade Florida 42311 1034 2.44
Nassau New York 41947 2185 5.21
Suffolk New York 41538 1983 4.77
Westchester New York 34980 1426 4.08
Harris Texas 34108 387 1.13
Philadelphia Pennsylvania 26536 1619 6.10
Middlesex Massachusetts 24083 1870 7.76
Dallas Texas 23675 393 1.66
Wayne Michigan 23054 2728 11.83
Suffolk Massachusetts 19936 1009 5.06
Bergen New Jersey 19532 2000 10.24
Riverside California 19450 479 2.46
Hudson New Jersey 18913 1454 7.69
Prince George’s Maryland 18861 687 3.64
Essex New Jersey 18842 2034 10.80
Broward Florida 18229 406 2.23
Clark Nevada 17028 435 2.55
Passaic New Jersey 16927 1192 7.04
Middlesex New Jersey 16884 1328 7.87
Fairfield Connecticut 16757 1377 8.22
Union New Jersey 16416 1326 8.08
Essex Massachusetts 16210 1116 6.88
Orange California 15778 360 2.28
San Diego California 15696 387 2.47
Palm Beach Florida 15324 536 3.50
Montgomery Maryland 15021 747 4.97
Fairfax Virginia 13965 494 3.54
San Bernardino California 13676 269 1.97
Rockland New York 13623 668 4.90
Tarrant Texas 13423 233 1.74
Providence Rhode Island 13144 0 0.00
Hillsborough Florida 13044 148 1.13
Bexar Texas 12878 115 0.89
Worcester Massachusetts 12443 935 7.51
New Haven Connecticut 12409 1077 8.68
Mecklenburg North Carolina 12233 151 1.23
Oakland Michigan 12160 1091 8.97
Hennepin Minnesota 12150 785 6.46
Orange Florida 12078 59 0.49
Salt Lake Utah 12050 112 0.93
Milwaukee Wisconsin 11823 391 3.31
Hartford Connecticut 11728 1378 11.75
Marion Indiana 11499 683 5.94
Shelby Tennessee 11145 197 1.77
Orange New York 10759 478 4.44
Travis Texas 10695 133 1.24

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc